The Race to Establish A.I. Rules
Deep Linking
March 10, 2020Prioritizing Accountability and Trust
March 10, 2020The Race to Establish A.I. Rules
Last year, China moved into position to lead the first set of global norms and standards to govern the future of artificial intelligence.
Last year, China moved into position to lead the first set of global norms and standards to govern the future of artificial intelligence.
In 2019, China published a report on technical standards that would allow companies to collaborate and make their systems interoperable. The European Union and the Organisation for Economic Co-operation and Development similarly published their own guidelines, and the Trump Administration signed an executive order to spur the development of standards in the U.S.
While the result of these efforts could introduce new ways to safeguard against bias and to ensure trust, they also attempt to create a strategic advantage for each stakeholder. As A.I. continues to develop according to different rules in China, the E.U. and the U.S., one of the hallmarks of the field—global academic collaboration—could drastically decline.
Related trends
This trend is part of our section on Artificial Intelligence. Other trends in this section include:
- A.I. and Digital Dividends
- Prioritizing Accountability and Trust
- Ambient Computing Expands
- Ubiquitous Digital Assistants
- A.I. for Drug Development
- A.I. for Interviews
- Consumer-Grade A.I. Applications
- The New Mil-Tech Industrial Complex
- National A.I. Strategies
- The Race to Establish A.I. Rules
- Algorithmic Warfare
- Making A.I. Explain Itself
- Using A.I. in Critical Systems
- China’s A.I. Rules
- Artificial Emotional Intelligence
- Personal Digital Twins
- Problematic Data Sets
- A.I. to Catch Cheaters
- Algorithms Designed to Target Vulnerable Populations
- A.I. Still Has a Bias Problem
- A.I. Systems Intentionally Hiding Data
- The Rise of Undocumented A.I. Accidents
- Multitask Learning
- Generative Adversarial Networks (GANs)
- New Generative Modeling Techniques
- Probabilistic Programming Languages
- Machine Image Completion
- Hybrid Human-Computer Vision Analysis
- Predictive Machine Vision
- Automated Machine Learning (AutoML)
- Customized Machine Learning
- Graph Neural Networks
- Intelligent Optical Character Recognition
- A.I. for the Creative Process
- Generative Algorithms for Content Production
- Generating Virtual Environments from Short Videos
- Automated Versioning
- Automatic Voice Cloning and Dubbing
- Spotting Machine-Written Text
- Algorithmic Fact Checking
- Datamining Crowds
- Deep Linking
- Corporate Biometric Spoofing
- Bots
- Global Rush to Fund A.I.
- Algorithm Marketplaces
- Marketplace Consolidation
- Fragmentation
- Liability Insurance for A.I.
- Ambient Surveillance
- Creating 3D Models from Flat 2D Images
- Neuro-Symbolic A.I. Algorithms and Systems
- Real-Time Machine Learning
- Natural Language Understanding (NLU)
- Machine Reading Comprehension (MRC)
- Natural Language Generation (NLG)
- Real-Time Context in Machine Learning
- General Reinforcement Learning Algorithms
- Deep Learning Scales
- Faster and More Powerful Open Source Frameworks
- Reinforcement Learning and Hierarchical RL
- Continuous Learning
- Using A.I. to Speed the Process of Scientific Discovery
- A.I. in the Cloud
- Robotic Process Automation
- Digital Twins and Cognitive Twins in the Enterprise
- Robots with Cognitive Skills
- Advanced A.I. Chipsets
- Serverless Computing
- Proprietary, Homegrown A.I. Languages
- Proliferation of Franken-Algorithms
- Companies Manipulating A.I. Systems for Competitive Advantage
This trend is related to the following industries:
Aerospace, Auto Manufacturers, Banking, Civil Servants/Public Officials, Covid-19/ coronavirus, Defense, Diplomacy, Drug Manufacturers, Education Colleges & Universities, Electric Utilities, Entertainment Industry, Environment, Foreign & Defense Policy, Gas & Oil, Government - International, Government - National, Government - State and Local, Heavy Industry, Hedge Funds, Information Technology, Infrastructure, Law Enforcement, National Security, Non-profits/Foundations/Philanthropists, Pharmaceuticals/Health Products, Private Equity, Professional Services, Technology Company, Telecommunications, Trade Associations, Transportation, Utilities, Venture Capital, Waste Management, Work (Future of)